Hist-8000 sequence similarity scores are closer to the ground truth than the corresponding Sum-of-learnt-Trigrams scores. (NW, Hist-8000) and (NW, Hist-SDM12) are both higher than... by Frixos Papadopoulos (22001664)

Evaluation results of eye detection approaches. by Verdzekov Emile Tatinyuy (19959261)

“…<div><p>This study presents a novel multi-stage hierarchical approach to optimize key selection on virtual keyboards using eye gaze. Existing single-stage selection algorithms have difficulty with distant keys on large interfaces. …”

Shows the block diagram of ResNet34. by Verdzekov Emile Tatinyuy (19959261)

“…<div><p>This study presents a novel multi-stage hierarchical approach to optimize key selection on virtual keyboards using eye gaze. Existing single-stage selection algorithms have difficulty with distant keys on large interfaces. …”

EDLIoT: A method for decreasing energy consumption and latency using scheduling algorithm in Internet of Things by Arash GhorbanniaDelavar (22563696)

Dyeing machine effect test. by Chengsheng Liao (19832217)

Cell staining effect. by Chengsheng Liao (19832217)

SLR-Resource Allocation in Business Processes: Selected studies and data extraction by Luise Pufahl (17695929)

Flow output resulting from specific management schedules for each flow component across 100 runs of Habplan. by Max D. Jones (6269006)

Cost functions implemented in Neuroptimus. by Máté Mohácsi (20469514)

“…However, using most of these software tools and choosing the most appropriate algorithm for a given optimization task require substantial technical expertise, which prevents the majority of researchers from using these methods effectively. …”

An overview of the proposed framework. by Taslima Khanam (9739867)

“…To address these issues, this study aims to develop a novel channel selection method to enhance EEG-based MI task performance in BCI applications. …”

Structural overview of the proposed NN model. by Taslima Khanam (9739867)

“…To address these issues, this study aims to develop a novel channel selection method to enhance EEG-based MI task performance in BCI applications. …”

Demographic data of the used datasets. by Taslima Khanam (9739867)

“…To address these issues, this study aims to develop a novel channel selection method to enhance EEG-based MI task performance in BCI applications. …”

Architectural comparison of the different models. by Taslima Khanam (9739867)

“…To address these issues, this study aims to develop a novel channel selection method to enhance EEG-based MI task performance in BCI applications. …”

Simulation Workflow. by Arshiya Mariam (10190281)

Study Design. by Arshiya Mariam (10190281)

State anxiety and CoM velocity responses to forward and backward perturbations. by Shreya Jain (4498231)

Validation results on the Tromsø Study accelerometer data subsample. by Marc Weitz (8131560)

AUROC Scores for TCR’s CDR3-peptide binding prediction for models trained and tested using various splitting techniques. by Leonardo V. Castorina (13390095)

Sparse CCA for TC1-4 scores with auditory cue and motor variables independent. by Huu Hoang (9188747)

Image 1_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.tif by Xuehui Fan (10762662)